01.07.2016 • Product

Automatic Systems: Diras Technology for Latest Pedestrian Products

Photo

Paying particular attention to technological innovations and with a strong desire to improve the quality of its equipment, Automatic Systems has incorporated the Diras technology into its latest pedestrian products: SlimLane security entrance lanes and FirstLane security turnstiles. This highly advanced technology makes Automatic Systems products the best in class for electronic detection.

The Diras detection system consists of a high-density matrix of infrared transmitter and receiver photocell beams. It follows the users’ progression through the gate as well as ensuring their safety during opening and closing of the obstacles. Moreover, it detects fraud attempts (such as tailgating) and recognises different passage scenarios.

Thanks to its multi-directional infrared beam matrix (beams every 22, 5 mm) and its predictive algorithms, this innovative technology allows the system to analyse and anticipate the size, position, speed and direction of the user in the lane. Moreover, the detection system filters anything that may cause interference, obstruct or fall into the lane passage and which is not a security threat (such as arm movement, hand luggage etc.). This reduces the probabilities of alarms being sounded unnecessary. Another advantage of Diras technology is its ability to track multiple entities in the lane in order to manage efficiently the flows of persons and generate much faster throughput rates.
Passage scenarios and fraud detection:

  • Tailgating
  • Piggybacking
  • Trolleys
  • Children
  • U-turn
  • Crossing
  • Multiples entries
  • Beams every 22.5 mm
  • Dynamic and predictive algorithms (size position, direction, speed)
  • End-to-end detection
  • High processing capacity

Business Partner

Automatic Systems Deutschland GmbH

Max-Planck-Straße 7
59423 Unna
Germany

Business Partner contact







most read

Photo
26.07.2024 • ProductSecurity

Explosion-Proof AI Camera

Hanwha Vision has launched a compact 5MP explosion-proof AI camera, the TNO-C8083E, featuring AI object detection and classification alongside intelligent video analytics.